Prevalence, seasonal dynamics and associated variables of ixodid tick cattle infestation in Gondar, northwestern Ethiopia

IF 2 Q3 INFECTIOUS DISEASES Parasite Epidemiology and Control Pub Date : 2023-05-01 DOI:10.1016/j.parepi.2023.e00294
Abdifetah Mohamed , Muhammed Fedlu , Taju Nigussie , Mahamed Abdi Wali
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引用次数: 1

Abstract

Ticks are ectoparasites that impact the health and productivity in farm animals. They are also important vectors for pathogens transmitted to animals and humans. A cross-sectional study was conducted from November 2018 to April 2019 with the objectives of determining the prevalence, identifying genera and seasonal dynamics of adult ixodid ticks infesting cattle in and around Gondar, northwestern Ethiopia. Pearson Chi-square Test was used to evaluate the association of tick prevalence with explanatory variables. One way analysis of variance was used to compare mean tick density of cattle with the explanatory variables. The overall prevalence of cattle ixodid tick infestation was found to be 65.8% (95% CI = 60.0–71.2%). The effect of breed, sex, age and body condition score on tick prevalence was investigated. However, only the body condition score of study animals was found to have statistically significant effect on the prevalence of tick infestation. Monthly analysis of tick infestation showed statistically significant variation (χ2 = 36.17, p = 0.00) during the study period (November 2018 – April 2019). The highest monthly prevalence was recorded in March (85.0%), and the least in February (42.0%). A comparison of the tick prevalence across seasons showed statistically significant differences (χ = 34.10, p = 0.00), being highest (82.5%) during the short rainy season. During the study period, a total of 3796 adult ixodid ticks were collected from different body regions of the study animals. Three ixodid tick genera were identified, with the genus Rhipicephalus being the most prevalent (n = 2122 (55.9%) of the total adult ticks (3796). The overall mean tick density per host for all genera was 12.78 ticks, with a marked difference in tick density during the three study seasons. The highest MTD was recorded during the short rainy season (MTD = 18.58), (F = 19.71, p < 0.05). The present study has shown that ticks are highly prevalent in the study area. Therefore, an appropriate tick control program should be designed and implemented.

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埃塞俄比亚西北部贡达尔地区蜱虫病流行、季节动态和相关变量
蜱虫是影响农场动物健康和生产力的体外寄生虫。它们也是传播给动物和人类的病原体的重要媒介。2018年11月至2019年4月进行了一项横断面研究,目的是确定埃塞俄比亚西北部贡达尔及其周边地区牛感染成年ixodid蜱的流行率、属和季节动态。皮尔逊卡方检验用于评估蜱虫流行率与解释变量的相关性。采用单因素方差分析法将牛的平均蜱虫密度和解释变量进行比较。结果表明,牛蜱虫感染的总患病率为65.8%(95%可信区间为60.0–71.2%)。研究了品种、性别、年龄和身体状况评分对蜱虫患病率的影响。然而,只有研究动物的身体状况评分对蜱虫侵扰的发生率有统计学上的显著影响。在研究期间(2018年11月至2019年4月),蜱虫侵扰的月度分析显示出统计学上的显著差异(χ2=36.17,p=0.00)。蜱虫的月流行率最高的是3月份(85.0%),最低的是2月份(42.0%)。不同季节的蜱虫流行率比较显示出统计学上的显著差异(χ=34.10,p=0.00),在短暂的雨季最高(82.5%)。在研究期间,共从研究动物的不同身体区域采集了3796只成年ixodid蜱。已鉴定出三个ixodid蜱属,其中Rhipipehalus属是最常见的(n=2122(55.9%),占成年蜱总数(3796)。所有属的每个宿主的总体平均蜱虫密度为12.78只,三个研究季节的蜱虫密度存在显著差异。最高的MTD记录在短暂的雨季(MTD=18.58),(F=19.71,p<;0.05)。本研究表明,蜱虫在研究地区非常普遍。因此,应设计并实施适当的蜱虫控制程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Parasite Epidemiology and Control
Parasite Epidemiology and Control Medicine-Infectious Diseases
CiteScore
5.70
自引率
3.10%
发文量
44
审稿时长
17 weeks
期刊介绍: Parasite Epidemiology and Control is an Open Access journal. There is an increasing amount of research in the parasitology area that analyses the patterns, causes, and effects of health and disease conditions in defined populations. This epidemiology of parasite infectious diseases is predominantly studied in human populations but also spans other major hosts of parasitic infections and as such this journal will have a broad remit. We will focus on the major areas of epidemiological study including disease etiology, disease surveillance, drug resistance and geographical spread and screening, biomonitoring, and comparisons of treatment effects in clinical trials for both human and other animals. We will also look at the epidemiology and control of vector insects. The journal will also cover the use of geographic information systems (Epi-GIS) for epidemiological surveillance which is a rapidly growing area of research in infectious diseases. Molecular epidemiological approaches are also particularly encouraged.
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